Shots are key narrative elements of various videos, eg movies, TV series, and user-
generated videos that are thriving over the Internet. The types of shots greatly influence how …

During the past years, camera-equipped Unmanned Aerial Vehicles (UAVs) have
revolutionized aerial cinematography, allowing easy acquisition of impressive footage. In …

Many semantic events in team sport activities eg basketball often involve both group
activities and the outcome (score or not). Motion patterns can be an effective means to …

Motion information used in the existed video action recognition schemes is mixing of global
motion (GM) and local motion (LM). In fact, GM & LM have their respective semantic …

Semantic video scene-understanding applications rely on object-camera motion recognition
techniques for scene contextual movement representation. While existing machine learning …

Video analysis and understanding play a central role in visual intelligence. In this paper, we
aim to analyze unconstrained videos, by designing features and approaches to represent …

In the last few years, there has been an increasing amount of methods and algorithms that
approach and automate different video and image editing tasks. A task that so far has not …

In recent years, AI-assisted video editing has shown promising applications. Understanding
and analyzing camera language accurately is fundamental in video editing, guiding …

Image classification is a fundamental task in computer vision, implying a wide range of
challenging problems, such as object recognition, scene understanding, and image tagging …

Shot is one of the fundamental unit in the content structure of a film, which can provide
insights into the film-director's ideas. By analyzing the properties and types of shots, we can …